A Knowledge Base for Dependability and Security Research
A Knowledge Base for Dependability and Security Research
Research on computer system resilience, indeed on dependability and security generally, suffers from fragmentation into numerous partly-overlapping communities, and inconsistencies in terminology. As a partial response to this situation, we report on the development and use of a Resilience Knowledge Base (RKB) which currently contains over 60 million information items drawn from publication repositories and funding agencies worldwide. We describe the RKB technology, showing how it can support exploration of the research space using semantic web techniques to ameliorate difficulties caused by differences in terminology. We discuss the potential for the RKB to support Resilience-Explicit Computing, in which the decision to select a tool or configure a component from among alternatives is supported using metadata-based mechanism descriptions. The RKB Explorer can identify indirect but potentially significant inter-relationships not only between people,between these and information about tools, components and training materials.
Glaser, Hugh
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Millard, Ian
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Anderson, Tom
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Andrews, Zoe
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Fitzgerald, John
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Randell, Brian
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Glaser, Hugh
df88ca22-a72f-4fb6-9784-6578737d8af4
Millard, Ian
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Anderson, Tom
e7affde2-e22a-4f36-9159-3a44971b15df
Andrews, Zoe
93ade1ff-061b-40ba-8859-5749e2990126
Fitzgerald, John
b063396d-a879-4345-9e6c-fcecb936be54
Randell, Brian
ec6d569e-f95d-45c5-9de1-2b9b1e80db53
Glaser, Hugh, Millard, Ian, Anderson, Tom, Andrews, Zoe, Fitzgerald, John and Randell, Brian
(2009)
A Knowledge Base for Dependability and Security Research
(In Press)
Record type:
Monograph
(Project Report)
Abstract
Research on computer system resilience, indeed on dependability and security generally, suffers from fragmentation into numerous partly-overlapping communities, and inconsistencies in terminology. As a partial response to this situation, we report on the development and use of a Resilience Knowledge Base (RKB) which currently contains over 60 million information items drawn from publication repositories and funding agencies worldwide. We describe the RKB technology, showing how it can support exploration of the research space using semantic web techniques to ameliorate difficulties caused by differences in terminology. We discuss the potential for the RKB to support Resilience-Explicit Computing, in which the decision to select a tool or configure a component from among alternatives is supported using metadata-based mechanism descriptions. The RKB Explorer can identify indirect but potentially significant inter-relationships not only between people,between these and information about tools, components and training materials.
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Accepted/In Press date: 29 June 2009
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 267102
URI: http://eprints.soton.ac.uk/id/eprint/267102
PURE UUID: dc982679-221f-40e7-ae9e-1ddc41c6dc4d
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Date deposited: 14 Feb 2009 16:18
Last modified: 14 Mar 2024 08:42
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Contributors
Author:
Hugh Glaser
Author:
Ian Millard
Author:
Tom Anderson
Author:
Zoe Andrews
Author:
John Fitzgerald
Author:
Brian Randell
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